Jeongho Ahn | Computer Aided Machine Design | Best Researcher Award Published on 22/10/2025 by Global CAD Awards Prof. Jeongho Ahn | Computer Aided Machine Design | Best Researcher Award Professor | Arkansas State University | United States Dr. Jeongho Ahn is a distinguished Professor in the Department of Mathematics and Statistics at Arkansas State University, with a strong research record in applied mathematics, numerical analysis, partial differential equations, and computational mechanics. His research primarily focuses on dynamic contact problems, finite element methods, complementarity problems, and differential variational inequalities, contributing significantly to the mathematical modeling and numerical simulation of complex mechanical systems involving frictional and thermal effects. Dr. Ahn has authored over twenty-three refereed journal publications, including influential works on viscoelastic and thermoviscoelastic beam systems, frictional contact, and nonlinear dynamic analysis, many of which have appeared in leading journals such as Nonlinear Analysis: Real World Applications, Applied Mathematics and Computation, and SIAM Journal on Numerical Analysis. His scholarly output has achieved 190 citations across 123 documents with 23 Publication an h-index of 9, reflecting his growing impact in applied and computational mathematics. In addition to research, Dr. Ahn has contributed to mathematics education through co-authoring the Instructor’s Solutions Manual for Elementary Numerical Analysis published by John Wiley & Sons. His academic excellence, extensive teaching portfolio, and collaborative research with global experts underscore his significant contributions to the advancement of numerical and applied mathematical sciences. Profiles: Scopus Featured Publications Chun, S., & Ahn, J. (2026). Dynamic contact of a beam–rod system with Signorini typed contact conditions and thermal effects. Nonlinear Analysis: Real World Applications, 87, Article 104440. Ahn, J. (2023). A generalized Duffing equation with the Coulomb’s friction law and Signorini–type contact conditions. Nonlinear Analysis: Real World Applications, 74, Article 103936.
Dr. Jeongho Ahn is a distinguished Professor in the Department of Mathematics and Statistics at Arkansas State University, with a strong research record in applied mathematics, numerical analysis, partial differential equations, and computational mechanics. His research primarily focuses on dynamic contact problems, finite element methods, complementarity problems, and differential variational inequalities, contributing significantly to the mathematical modeling and numerical simulation of complex mechanical systems involving frictional and thermal effects. Dr. Ahn has authored over twenty-three refereed journal publications, including influential works on viscoelastic and thermoviscoelastic beam systems, frictional contact, and nonlinear dynamic analysis, many of which have appeared in leading journals such as Nonlinear Analysis: Real World Applications, Applied Mathematics and Computation, and SIAM Journal on Numerical Analysis. His scholarly output has achieved 190 citations across 123 documents with 23 Publication an h-index of 9, reflecting his growing impact in applied and computational mathematics. In addition to research, Dr. Ahn has contributed to mathematics education through co-authoring the Instructor’s Solutions Manual for Elementary Numerical Analysis published by John Wiley & Sons. His academic excellence, extensive teaching portfolio, and collaborative research with global experts underscore his significant contributions to the advancement of numerical and applied mathematical sciences. Profiles: Scopus Featured Publications Chun, S., & Ahn, J. (2026). Dynamic contact of a beam–rod system with Signorini typed contact conditions and thermal effects. Nonlinear Analysis: Real World Applications, 87, Article 104440. Ahn, J. (2023). A generalized Duffing equation with the Coulomb’s friction law and Signorini–type contact conditions. Nonlinear Analysis: Real World Applications, 74, Article 103936.
Dr. Jeongho Ahn is a distinguished Professor in the Department of Mathematics and Statistics at Arkansas State University, with a strong research record in applied mathematics, numerical analysis, partial differential equations, and computational mechanics. His research primarily focuses on dynamic contact problems, finite element methods, complementarity problems, and differential variational inequalities, contributing significantly to the mathematical modeling and numerical simulation of complex mechanical systems involving frictional and thermal effects. Dr. Ahn has authored over twenty-three refereed journal publications, including influential works on viscoelastic and thermoviscoelastic beam systems, frictional contact, and nonlinear dynamic analysis, many of which have appeared in leading journals such as Nonlinear Analysis: Real World Applications, Applied Mathematics and Computation, and SIAM Journal on Numerical Analysis. His scholarly output has achieved 190 citations across 123 documents with 23 Publication an h-index of 9, reflecting his growing impact in applied and computational mathematics. In addition to research, Dr. Ahn has contributed to mathematics education through co-authoring the Instructor’s Solutions Manual for Elementary Numerical Analysis published by John Wiley & Sons. His academic excellence, extensive teaching portfolio, and collaborative research with global experts underscore his significant contributions to the advancement of numerical and applied mathematical sciences. Profiles: Scopus Featured Publications Chun, S., & Ahn, J. (2026). Dynamic contact of a beam–rod system with Signorini typed contact conditions and thermal effects. Nonlinear Analysis: Real World Applications, 87, Article 104440. Ahn, J. (2023). A generalized Duffing equation with the Coulomb’s friction law and Signorini–type contact conditions. Nonlinear Analysis: Real World Applications, 74, Article 103936.
Nidhika Chauhan | Computer Technology For Design | Best Researcher Award Published on 08/10/2025 by Global CAD Awards Dr. Nidhika Chauhan | Computer Technology For Design | Best Researcher Award Associate Professor | Chandigarh University | India Dr. Nidhika Chauhan is an accomplished academic and researcher with a Ph.D. in Computer Science from Chandigarh University. She holds a Master of Computer Applications (MCA) from Lovely Professional University and a Bachelor of Computer Applications (BCA) from Chitkara University. As an Associate Professor and Subject Coordinator at Chandigarh University, she has over five years of experience teaching IT and management students, developing educational programs, mentoring research projects, coordinating academic events, and supervising undergraduate and postgraduate research work. Her professional expertise spans cloud computing, artificial intelligence, optimization algorithms, data analytics, and research methodology, with a focus on energy-efficient resource allocation and performance management in cloud data centers. Dr. Chauhan has published numerous journal and conference papers indexed in IEEE, arXiv, and reputed international journals such as Computers, Materials & Continua and Journal of Harbin Engineering University, along with multiple book chapters in machine learning and digital marketing. She has actively participated in NAAC coordination, academic counseling, and faculty development programs, earning recognition such as the Most Outstanding Employee of the Year at NIIT. Her leadership, technical proficiency, and academic contributions reflect a deep commitment to innovation in education and research. With 8 citations across 8 documents, 6 Documents and an h-index of 2, Dr. Chauhan continues to advance research in cloud computing, optimization algorithms, and intelligent systems while contributing significantly to the academic and professional development of her students. Profile: Scopus | Orcid | Google Scholar Featured Publications Chauhan, N. (n.d.). Prediction of clinical drug response using machine learning. In Ambient Assisted Living (AAL) Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0. (Accepted for publication).
Dr. Nidhika Chauhan is an accomplished academic and researcher with a Ph.D. in Computer Science from Chandigarh University. She holds a Master of Computer Applications (MCA) from Lovely Professional University and a Bachelor of Computer Applications (BCA) from Chitkara University. As an Associate Professor and Subject Coordinator at Chandigarh University, she has over five years of experience teaching IT and management students, developing educational programs, mentoring research projects, coordinating academic events, and supervising undergraduate and postgraduate research work. Her professional expertise spans cloud computing, artificial intelligence, optimization algorithms, data analytics, and research methodology, with a focus on energy-efficient resource allocation and performance management in cloud data centers. Dr. Chauhan has published numerous journal and conference papers indexed in IEEE, arXiv, and reputed international journals such as Computers, Materials & Continua and Journal of Harbin Engineering University, along with multiple book chapters in machine learning and digital marketing. She has actively participated in NAAC coordination, academic counseling, and faculty development programs, earning recognition such as the Most Outstanding Employee of the Year at NIIT. Her leadership, technical proficiency, and academic contributions reflect a deep commitment to innovation in education and research. With 8 citations across 8 documents, 6 Documents and an h-index of 2, Dr. Chauhan continues to advance research in cloud computing, optimization algorithms, and intelligent systems while contributing significantly to the academic and professional development of her students. Profile: Scopus | Orcid | Google Scholar Featured Publications Chauhan, N. (n.d.). Prediction of clinical drug response using machine learning. In Ambient Assisted Living (AAL) Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0. (Accepted for publication).